QP1.1 Qual plataforma é modificada com mais frequência?
QP2.1 A equipe de desenvolvimento de bibliotecas multiplataforma tende a tornar-se mais generalista ou especialista ao longo do tempo?
QP2.2 Dos desenvolvedores generalistas, eles tendem a trabalhar com mais plataformas ao longo do tempo?
QP3.1 Os desenvolvedores de bibliotecas multiplataforma tendem a especializar-se em dispositivos desktop ou mobile ao longo do tempo?
QP4.1 Com quantas plataformas cada desenvolvedor trabalha?
QP4.2 Dos desenvolvedores que trabalham com uma plataforma, como é a distribuição de plataformas?
QP4.3 Dos desenvolvedores que trabalham com mais de uma plataforma, qual a porcentagem de desenvolvedores que trabalham com o código independente e outras plataformas?
QP5.1 Quantas plataformas são modificadas em conjunto em um commit?
QP5.2 Dos commits que modificaram uma plataforma, como é a distribuição de plataformas?
QP5.3 Dos commits que modificaram mais de uma plataforma, qual a porcentagem de commits que modificaram o código independente junto com o código específico de alguma plataforma?
| tipo | n | porc_dev |
|---|---|---|
| esp | 8 | 34.8 |
| gen | 11 | 47.8 |
| NA | 4 | 17.4 |
| dispositivo | n_todos | porc_todos |
|---|---|---|
| None | 4 | 17.391304 |
| Desktop | 6 | 26.086956 |
| Mobile | 2 | 8.695652 |
| Both | 11 | 47.826087 |
| lhs | rhs | support | confidence | lift | count | ||
|---|---|---|---|---|---|---|---|
| [1] | {win} | => | {independente} | 0.4347826 | 0.9090909 | 1.306818 | 10 |
| 2 | {android} | => | {independente} | 0.3913043 | 0.8181818 | 1.176136 | 9 |
| 3 | {win,macosx} | => | {independente} | 0.3478261 | 1.0000000 | 1.437500 | 8 |
| 4 | {macosx,independente} | => | {win} | 0.3478261 | 0.8888889 | 1.858586 | 8 |
| 5 | {win,independente} | => | {macosx} | 0.3478261 | 0.8000000 | 1.533333 | 8 |
| [6] | {android,win} | => | {independente} | 0.3478261 | 1.0000000 | 1.437500 | 8 |
| [7] | {android,independente} | => | {win} | 0.3478261 | 0.8888889 | 1.858586 | 8 |
| [8] | {win,independente} | => | {android} | 0.3478261 | 0.8000000 | 1.672727 | 8 |
| [9] | {iphone} | => | {win} | 0.3043478 | 1.0000000 | 2.090909 | 7 |
| [10] | {iphone} | => | {independente} | 0.3043478 | 1.0000000 | 1.437500 | 7 |
| android | linux | win | iphone | macosx | independente | |
|---|---|---|---|---|---|---|
| android | 0.0000000 | 0.5000000 | 0.5714286 | 0.3846154 | 0.4375000 | 0.5000000 |
| linux | 0.5000000 | 0.0000000 | 0.3846154 | 0.4000000 | 0.2666667 | 0.2777778 |
| win | 0.5714286 | 0.3846154 | 0.0000000 | 0.6363636 | 0.5333333 | 0.5882353 |
| iphone | 0.3846154 | 0.4000000 | 0.6363636 | 0.0000000 | 0.4615385 | 0.4375000 |
| macosx | 0.4375000 | 0.2666667 | 0.5333333 | 0.4615385 | 0.0000000 | 0.4736842 |
| independente | 0.5000000 | 0.2777778 | 0.5882353 | 0.4375000 | 0.4736842 | 0.0000000 |
| independente | macosx | android | win | linux | iphone | |
|---|---|---|---|---|---|---|
| independente | 16 | 9 | 9 | 10 | 5 | 7 |
| macosx | 9 | 12 | 7 | 8 | 4 | 6 |
| android | 9 | 7 | 11 | 8 | 6 | 5 |
| win | 10 | 8 | 8 | 11 | 5 | 7 |
| linux | 5 | 4 | 6 | 5 | 7 | 4 |
| iphone | 7 | 6 | 5 | 7 | 4 | 7 |
| independente | macosx | android | win | linux | iphone | |
|---|---|---|---|---|---|---|
| independente | 0.6956522 | 0.3913043 | 0.3913043 | 0.4347826 | 0.2173913 | 0.3043478 |
| macosx | 0.3913043 | 0.5217391 | 0.3043478 | 0.3478261 | 0.1739130 | 0.2608696 |
| android | 0.3913043 | 0.3043478 | 0.4782609 | 0.3478261 | 0.2608696 | 0.2173913 |
| win | 0.4347826 | 0.3478261 | 0.3478261 | 0.4782609 | 0.2173913 | 0.3043478 |
| linux | 0.2173913 | 0.1739130 | 0.2608696 | 0.2173913 | 0.3043478 | 0.1739130 |
| iphone | 0.3043478 | 0.2608696 | 0.2173913 | 0.3043478 | 0.1739130 | 0.3043478 |
| n_platform | n_dev_gen | porc_gen |
|---|---|---|
| 2 | 2 | 18.2 |
| 3 | 4 | 36.4 |
| 4 | 1 | 9.1 |
| 5 | 4 | 36.4 |
| lhs | rhs | support | confidence | lift | count | ||
|---|---|---|---|---|---|---|---|
| [1] | {Windows,iPhone} | => | {Independente} | 0.0107271 | 1.0 | 1.638672 | 9 |
| 2 | {Windows,macOS} | => | {Independente} | 0.0107271 | 1.0 | 1.638672 | 9 |
| 3 | {Android,Windows} | => | {Independente} | 0.0083433 | 1.0 | 1.638672 | 7 |
| 4 | {Linux,Windows} | => | {Independente} | 0.0059595 | 1.0 | 1.638672 | 5 |
| 5 | {iPhone,macOS} | => | {Windows} | 0.0047676 | 1.0 | 3.831050 | 4 |
| [6] | {iPhone,macOS} | => | {Independente} | 0.0047676 | 1.0 | 1.638672 | 4 |
| [7] | {Android,iPhone} | => | {Windows} | 0.0047676 | 0.8 | 3.064840 | 4 |
| [8] | {Android,iPhone} | => | {Independente} | 0.0047676 | 0.8 | 1.310938 | 4 |
| [9] | {Windows,iPhone,macOS} | => | {Independente} | 0.0047676 | 1.0 | 1.638672 | 4 |
| [10] | {iPhone,macOS,Independente} | => | {Windows} | 0.0047676 | 1.0 | 3.831050 | 4 |
| Android | Linux | Windows | iPhone | macOS | Independente | |
|---|---|---|---|---|---|---|
| Android | 0.0000000 | 0.0192308 | 0.0233333 | 0.0370370 | 0.0197368 | 0.0362694 |
| Linux | 0.0192308 | 0.0000000 | 0.0215517 | 0.0144928 | 0.0000000 | 0.0172745 |
| Windows | 0.0233333 | 0.0215517 | 0.0000000 | 0.0343511 | 0.0324910 | 0.0877976 |
| iPhone | 0.0370370 | 0.0144928 | 0.0343511 | 0.0000000 | 0.0347826 | 0.0254545 |
| macOS | 0.0197368 | 0.0000000 | 0.0324910 | 0.0347826 | 0.0000000 | 0.0211640 |
| Independente | 0.0362694 | 0.0172745 | 0.0877976 | 0.0254545 | 0.0211640 | 0.0000000 |
| Independente | Windows | Android | macOS | iPhone | Linux | |
|---|---|---|---|---|---|---|
| Independente | 512 | 59 | 21 | 12 | 14 | 9 |
| Windows | 59 | 219 | 7 | 9 | 9 | 5 |
| Android | 21 | 7 | 88 | 3 | 5 | 2 |
| macOS | 12 | 9 | 3 | 67 | 4 | 0 |
| iPhone | 14 | 9 | 5 | 4 | 52 | 1 |
| Linux | 9 | 5 | 2 | 0 | 1 | 18 |
| Independente | Windows | Android | macOS | iPhone | Linux | |
|---|---|---|---|---|---|---|
| Independente | 0.6102503 | 0.0703218 | 0.0250298 | 0.0143027 | 0.0166865 | 0.0107271 |
| Windows | 0.0703218 | 0.2610250 | 0.0083433 | 0.0107271 | 0.0107271 | 0.0059595 |
| Android | 0.0250298 | 0.0083433 | 0.1048868 | 0.0035757 | 0.0059595 | 0.0023838 |
| macOS | 0.0143027 | 0.0107271 | 0.0035757 | 0.0798570 | 0.0047676 | 0.0000000 |
| iPhone | 0.0166865 | 0.0107271 | 0.0059595 | 0.0047676 | 0.0619785 | 0.0011919 |
| Linux | 0.0107271 | 0.0059595 | 0.0023838 | 0.0000000 | 0.0011919 | 0.0214541 |
| Platform | Commit | % |
|---|---|---|
| 0 | 428 | 51.0 |
| 1 | 387 | 46.1 |
| 2 | 18 | 2.1 |
| 3 | 3 | 0.4 |
| 4 | 3 | 0.4 |
| Platform | Mod. Total | Mod. uma | moduma_modtotal | modtotal_summodtotal |
|---|---|---|---|---|
| Android | 88 | 65 | 73.86364 | 19.819820 |
| iPhone | 52 | 37 | 71.15385 | 11.711712 |
| Linux | 18 | 8 | 44.44444 | 4.054054 |
| macOS | 67 | 55 | 82.08955 | 15.090090 |
| Windows | 219 | 160 | 73.05936 | 49.324324 |
Total de commits: [1] 839
Total de commits que modificaram o código específico de pelo menos uma plataforma (Denominador): [1] 411
Porcentagem: [1] 20.43796
KPSS Test for Level Stationarity
data: dev_all_time2$porcentage KPSS Level = 0.57916, Truncation lag parameter = 2, p-value = 0.02453
KPSS Test for Trend Stationarity
data: dev_all_time2$porcentage KPSS Trend = 0.53244, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_all_time2$n KPSS Level = 3.0824, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_all_time2$n KPSS Trend = 0.20036, Truncation lag parameter = 2, p-value = 0.01587
KPSS Test for Level Stationarity
data: dev_gen_med$n KPSS Level = 3.0493, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_med$n KPSS Trend = 0.1982, Truncation lag parameter = 2, p-value = 0.01667
KPSS Test for Level Stationarity
data: dev_gen_time2$porcentage KPSS Level = 1.7035, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time2$porcentage KPSS Trend = 0.11619, Truncation lag parameter = 2, p-value = 0.1
KPSS Test for Level Stationarity
data: dev_gen_time3$porcentage KPSS Level = 0.95725, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time3$porcentage KPSS Trend = 0.52336, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time4$porcentage KPSS Level = 2.3086, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time4$porcentage KPSS Trend = 0.45405, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time5$porcentage KPSS Level = 1.7187, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time5$porcentage KPSS Trend = 0.73535, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time2$n KPSS Level = 0.80724, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time2$n KPSS Trend = 0.13462, Truncation lag parameter = 2, p-value = 0.07108
KPSS Test for Level Stationarity
data: dev_gen_time3$n KPSS Level = 0.99926, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time3$n KPSS Trend = 0.5441, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time4$n KPSS Level = 1.6926, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time4$n KPSS Trend = 0.40522, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time5$n KPSS Level = 2.933, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time5$n KPSS Trend = 0.69726, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Level Stationarity
data: devicetype_time2$porcentage KPSS Level = 0.49784, Truncation lag parameter = 2, p-value = 0.04215
KPSS Test for Trend Stationarity
data: devicetype_time2$porcentage KPSS Trend = 0.46441, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: devicetype_time2$developer KPSS Level = 3.1029, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: devicetype_time2$developer KPSS Trend = 0.28251, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_all_time24_2$porcentage KPSS Level = 0.19834, Truncation lag parameter = 2, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_all_time24_2$porcentage KPSS Trend = 0.18002, Truncation lag parameter = 2, p-value = 0.02349
KPSS Test for Level Stationarity
data: dev_all_time24_2$n KPSS Level = 0.87471, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_all_time24_2$n KPSS Trend = 0.14319, Truncation lag parameter = 2, p-value = 0.05521
KPSS Test for Level Stationarity
data: dev_gen_med24$n KPSS Level = 0.86499, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_med24$n KPSS Trend = 0.1416, Truncation lag parameter = 2, p-value = 0.05815
KPSS Test for Level Stationarity
data: dev_gen_time24_2$porcentage KPSS Level = 0.59267, Truncation lag parameter = 1, p-value = 0.0233
KPSS Test for Trend Stationarity
data: dev_gen_time24_2$porcentage KPSS Trend = 0.15491, Truncation lag parameter = 1, p-value = 0.04257
KPSS Test for Level Stationarity
data: dev_gen_time24_3$porcentage KPSS Level = 0.14015, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_3$porcentage KPSS Trend = 0.13833, Truncation lag parameter = 1, p-value = 0.06421
KPSS Test for Level Stationarity
data: dev_gen_time24_4$porcentage KPSS Level = 0.14803, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_4$porcentage KPSS Trend = 0.068223, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Level Stationarity
data: dev_gen_time24_5$porcentage KPSS Level = 0.32542, Truncation lag parameter = 0, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_5$porcentage KPSS Trend = 0.10324, Truncation lag parameter = 0, p-value = 0.1
KPSS Test for Level Stationarity
data: dev_gen_time24_2$n KPSS Level = 0.1367, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_2$n KPSS Trend = 0.062689, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Level Stationarity
data: dev_gen_time24_3$n KPSS Level = 0.95653, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time24_3$n KPSS Trend = 0.16533, Truncation lag parameter = 1, p-value = 0.03389
KPSS Test for Level Stationarity
data: dev_gen_time24_4$n KPSS Level = 0.19587, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_4$n KPSS Trend = 0.12175, Truncation lag parameter = 1, p-value = 0.09491
KPSS Test for Level Stationarity
data: dev_gen_time24_5$n KPSS Level = 0.32407, Truncation lag parameter = 0, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_5$n KPSS Trend = 0.12963, Truncation lag parameter = 0, p-value = 0.08032
KPSS Test for Level Stationarity
data: devicetype_time24_2$porcentage KPSS Level = 0.86408, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: devicetype_time24_2$porcentage KPSS Trend = 0.068354, Truncation lag parameter = 2, p-value = 0.1
KPSS Test for Level Stationarity
data: devicetype_time24_2$developer KPSS Level = 1.5208, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: devicetype_time24_2$developer KPSS Trend = 0.17869, Truncation lag parameter = 2, p-value = 0.02399
Selecionamos os desenvolvedores que comitaram nas primeiras 24 semanas do periodo de análise e verificamos o numero de plataformas que eles fizeram trabalharam em cada janela de tempo
As plataformas consideradas foram: win, iphone, linux, macos, e android
Filtrei alguns desenvolvedores com poucos commits pq o plot.ts so aceita matriz de ate 10 colunas
| tipo | n | porc_dev |
|---|---|---|
| esp | 39 | 49.4 |
| gen | 20 | 25.3 |
| NA | 20 | 25.3 |
| dispositivo | n_todos | porc_todos |
|---|---|---|
| None | 20 | 25.31646 |
| Desktop | 39 | 49.36709 |
| Mobile | 9 | 11.39241 |
| Both | 11 | 13.92405 |
| lhs | rhs | support | confidence | lift | count | ||
|---|---|---|---|---|---|---|---|
| [1] | {macosx} | => | {independente} | 0.2025316 | 0.9411765 | 1.457901 | 16 |
| 2 | {linux,win} | => | {independente} | 0.1645570 | 1.0000000 | 1.549020 | 13 |
| 3 | {win,independente} | => | {linux} | 0.1645570 | 0.8666667 | 1.801754 | 13 |
| 4 | {android} | => | {independente} | 0.1518987 | 0.8000000 | 1.239216 | 12 |
| 5 | {win,macosx} | => | {independente} | 0.1518987 | 1.0000000 | 1.549020 | 12 |
| [6] | {win,independente} | => | {macosx} | 0.1518987 | 0.8000000 | 3.717647 | 12 |
| [7] | {linux,macosx} | => | {independente} | 0.1518987 | 1.0000000 | 1.549020 | 12 |
| [8] | {win,macosx} | => | {linux} | 0.1392405 | 0.9166667 | 1.905702 | 11 |
| [9] | {linux,macosx} | => | {win} | 0.1392405 | 0.9166667 | 3.448413 | 11 |
| [10] | {linux,win} | => | {macosx} | 0.1392405 | 0.8461538 | 3.932127 | 11 |
| android | linux | win | iphone | macosx | independente | |
|---|---|---|---|---|---|---|
| android | 0.0000000 | 0.1521739 | 0.2000000 | 0.3000000 | 0.2307692 | 0.2222222 |
| linux | 0.1521739 | 0.0000000 | 0.2826087 | 0.1395349 | 0.2790698 | 0.3088235 |
| win | 0.2000000 | 0.2826087 | 0.0000000 | 0.2307692 | 0.4615385 | 0.2631579 |
| iphone | 0.3000000 | 0.1395349 | 0.2307692 | 0.0000000 | 0.2727273 | 0.1923077 |
| macosx | 0.2307692 | 0.2790698 | 0.4615385 | 0.2727273 | 0.0000000 | 0.3076923 |
| independente | 0.2222222 | 0.3088235 | 0.2631579 | 0.1923077 | 0.3076923 | 0.0000000 |
| independente | linux | win | macosx | android | iphone | |
|---|---|---|---|---|---|---|
| independente | 51 | 21 | 15 | 16 | 12 | 10 |
| linux | 21 | 38 | 13 | 12 | 7 | 6 |
| win | 15 | 13 | 21 | 12 | 6 | 6 |
| macosx | 16 | 12 | 12 | 17 | 6 | 6 |
| android | 12 | 7 | 6 | 6 | 15 | 6 |
| iphone | 10 | 6 | 6 | 6 | 6 | 11 |
| independente | linux | win | macosx | android | iphone | |
|---|---|---|---|---|---|---|
| independente | 0.6455696 | 0.2658228 | 0.1898734 | 0.2025316 | 0.1518987 | 0.1265823 |
| linux | 0.2658228 | 0.4810127 | 0.1645570 | 0.1518987 | 0.0886076 | 0.0759494 |
| win | 0.1898734 | 0.1645570 | 0.2658228 | 0.1518987 | 0.0759494 | 0.0759494 |
| macosx | 0.2025316 | 0.1518987 | 0.1518987 | 0.2151899 | 0.0759494 | 0.0759494 |
| android | 0.1518987 | 0.0886076 | 0.0759494 | 0.0759494 | 0.1898734 | 0.0759494 |
| iphone | 0.1265823 | 0.0759494 | 0.0759494 | 0.0759494 | 0.0759494 | 0.1392405 |
| n_platform | n_dev_gen | porc_gen |
|---|---|---|
| 2 | 7 | 35 |
| 3 | 7 | 35 |
| 4 | 2 | 10 |
| 5 | 4 | 20 |
| lhs | rhs | support | confidence | lift | count | ||
|---|---|---|---|---|---|---|---|
| [1] | {Linux,Windows} | => | {Independente} | 0.0185306 | 0.9193548 | 1.812779 | 57 |
| 2 | {Linux,macOS} | => | {Independente} | 0.0104031 | 0.9142857 | 1.802784 | 32 |
| 3 | {Windows,macOS} | => | {Independente} | 0.0104031 | 0.8648649 | 1.705336 | 32 |
| 4 | {Linux,Windows,macOS} | => | {Independente} | 0.0081274 | 0.9615385 | 1.895957 | 25 |
| 5 | {Android,Windows} | => | {Independente} | 0.0055267 | 0.9444444 | 1.862251 | 17 |
| [6] | {Android,Linux} | => | {Independente} | 0.0052016 | 0.8888889 | 1.752707 | 16 |
| [7] | {Linux,iPhone} | => | {Independente} | 0.0052016 | 0.8888889 | 1.752707 | 16 |
| [8] | {iPhone,macOS} | => | {Independente} | 0.0048765 | 0.8333333 | 1.643162 | 15 |
| [9] | {Linux,iPhone} | => | {Windows} | 0.0048765 | 0.8333333 | 3.651472 | 15 |
| [10] | {Windows,iPhone} | => | {Linux} | 0.0048765 | 0.8333333 | 4.434833 | 15 |
| Android | Linux | Windows | iPhone | macOS | Independente | |
|---|---|---|---|---|---|---|
| Android | 0.0000000 | 0.0239044 | 0.0205245 | 0.0416667 | 0.0255319 | 0.0221574 |
| Linux | 0.0239044 | 0.0000000 | 0.0509031 | 0.0234681 | 0.0420673 | 0.0589401 |
| Windows | 0.0205245 | 0.0509031 | 0.0000000 | 0.0202020 | 0.0387841 | 0.0750951 |
| iPhone | 0.0416667 | 0.0234681 | 0.0202020 | 0.0000000 | 0.0376569 | 0.0237543 |
| macOS | 0.0255319 | 0.0420673 | 0.0387841 | 0.0376569 | 0.0000000 | 0.0422773 |
| Independente | 0.0221574 | 0.0589401 | 0.0750951 | 0.0237543 | 0.0422773 | 0.0000000 |
| Independente | Windows | Linux | macOS | iPhone | Android | |
|---|---|---|---|---|---|---|
| Independente | 1560 | 158 | 119 | 75 | 41 | 38 |
| Windows | 158 | 702 | 62 | 37 | 18 | 18 |
| Linux | 119 | 62 | 578 | 35 | 18 | 18 |
| macOS | 75 | 37 | 35 | 289 | 18 | 12 |
| iPhone | 41 | 18 | 18 | 18 | 207 | 16 |
| Android | 38 | 18 | 18 | 12 | 16 | 193 |
| Independente | Windows | Linux | macOS | iPhone | Android | |
|---|---|---|---|---|---|---|
| Independente | 0.5071521 | 0.0513654 | 0.0386866 | 0.0243823 | 0.0133290 | 0.0123537 |
| Windows | 0.0513654 | 0.2282185 | 0.0201560 | 0.0120286 | 0.0058518 | 0.0058518 |
| Linux | 0.0386866 | 0.0201560 | 0.1879064 | 0.0113784 | 0.0058518 | 0.0058518 |
| macOS | 0.0243823 | 0.0120286 | 0.0113784 | 0.0939532 | 0.0058518 | 0.0039012 |
| iPhone | 0.0133290 | 0.0058518 | 0.0058518 | 0.0058518 | 0.0672952 | 0.0052016 |
| Android | 0.0123537 | 0.0058518 | 0.0058518 | 0.0039012 | 0.0052016 | 0.0627438 |
| Platform | Commit | % |
|---|---|---|
| 0 | 1268 | 41.2 |
| 1 | 1707 | 55.5 |
| 2 | 64 | 2.1 |
| 3 | 22 | 0.7 |
| 4 | 7 | 0.2 |
| 5 | 8 | 0.3 |
| Platform | Mod. Total | Mod. uma | moduma_modtotal | modtotal_summodtotal |
|---|---|---|---|---|
| Android | 193 | 151 | 78.23834 | 9.80193 |
| iPhone | 207 | 158 | 76.32850 | 10.51295 |
| Linux | 578 | 451 | 78.02768 | 29.35500 |
| macOS | 289 | 205 | 70.93426 | 14.67750 |
| Windows | 702 | 533 | 75.92593 | 35.65262 |
Total de commits: [1] 3076
Total de commits que modificaram o código específico de pelo menos uma plataforma (Denominador): [1] 1808
Porcentagem: [1] 16.15044
KPSS Test for Level Stationarity
data: dev_all_time2$porcentage KPSS Level = 2.1141, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_all_time2$porcentage KPSS Trend = 0.11339, Truncation lag parameter = 2, p-value = 0.1
KPSS Test for Level Stationarity
data: dev_all_time2$n KPSS Level = 3.3041, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_all_time2$n KPSS Trend = 0.57471, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_med$n KPSS Level = 3.2708, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_med$n KPSS Trend = 0.5689, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time2$porcentage KPSS Level = 0.75844, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time2$porcentage KPSS Trend = 0.12056, Truncation lag parameter = 2, p-value = 0.09712
KPSS Test for Level Stationarity
data: dev_gen_time3$porcentage KPSS Level = 0.97956, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time3$porcentage KPSS Trend = 0.16199, Truncation lag parameter = 2, p-value = 0.03668
KPSS Test for Level Stationarity
data: dev_gen_time4$porcentage KPSS Level = 1.1716, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time4$porcentage KPSS Trend = 0.39502, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time5$porcentage KPSS Level = 2.4258, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time5$porcentage KPSS Trend = 0.68066, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time2$n KPSS Level = 2.9533, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time2$n KPSS Trend = 0.18167, Truncation lag parameter = 2, p-value = 0.02287
KPSS Test for Level Stationarity
data: dev_gen_time3$n KPSS Level = 2.9741, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time3$n KPSS Trend = 0.30817, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time4$n KPSS Level = 0.28794, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time4$n KPSS Trend = 0.22217, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time5$n KPSS Level = 1.9883, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time5$n KPSS Trend = 0.2979, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: devicetype_time2$porcentage KPSS Level = 2.4041, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: devicetype_time2$porcentage KPSS Trend = 0.13057, Truncation lag parameter = 2, p-value = 0.07857
KPSS Test for Level Stationarity
data: devicetype_time2$developer KPSS Level = 3.1951, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Trend Stationarity
data: devicetype_time2$developer KPSS Trend = 0.64675, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_all_time24_2$porcentage KPSS Level = 0.67117, Truncation lag parameter = 2, p-value = 0.01617
KPSS Test for Trend Stationarity
data: dev_all_time24_2$porcentage KPSS Trend = 0.20071, Truncation lag parameter = 2, p-value = 0.01574
KPSS Test for Level Stationarity
data: dev_all_time24_2$n KPSS Level = 0.48472, Truncation lag parameter = 2, p-value = 0.04511
KPSS Test for Trend Stationarity
data: dev_all_time24_2$n KPSS Trend = 0.38505, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_med24$n KPSS Level = 0.47982, Truncation lag parameter = 2, p-value = 0.04621
KPSS Test for Trend Stationarity
data: dev_gen_med24$n KPSS Trend = 0.38116, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time24_2$porcentage KPSS Level = 0.12995, Truncation lag parameter = 2, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_2$porcentage KPSS Trend = 0.12061, Truncation lag parameter = 2, p-value = 0.09702
KPSS Test for Level Stationarity
data: dev_gen_time24_3$porcentage KPSS Level = 0.38247, Truncation lag parameter = 1, p-value = 0.08471
KPSS Test for Trend Stationarity
data: dev_gen_time24_3$porcentage KPSS Trend = 0.097636, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Level Stationarity
data: dev_gen_time24_4$porcentage KPSS Level = 0.36959, Truncation lag parameter = 1, p-value = 0.09026
KPSS Test for Trend Stationarity
data: dev_gen_time24_4$porcentage KPSS Trend = 0.34983, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time24_5$porcentage KPSS Level = 1.1622, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Trend Stationarity
data: dev_gen_time24_5$porcentage KPSS Trend = 0.45473, Truncation lag parameter = 1, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time24_2$n KPSS Level = 0.32714, Truncation lag parameter = 2, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_2$n KPSS Trend = 0.31659, Truncation lag parameter = 2, p-value = 0.01
KPSS Test for Level Stationarity
data: dev_gen_time24_3$n KPSS Level = 0.41301, Truncation lag parameter = 1, p-value = 0.07155
KPSS Test for Trend Stationarity
data: dev_gen_time24_3$n KPSS Trend = 0.18163, Truncation lag parameter = 1, p-value = 0.02289
KPSS Test for Level Stationarity
data: dev_gen_time24_4$n KPSS Level = 0.18938, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_4$n KPSS Trend = 0.16608, Truncation lag parameter = 1, p-value = 0.03326
KPSS Test for Level Stationarity
data: dev_gen_time24_5$n KPSS Level = 0.20729, Truncation lag parameter = 1, p-value = 0.1
KPSS Test for Trend Stationarity
data: dev_gen_time24_5$n KPSS Trend = 0.17318, Truncation lag parameter = 1, p-value = 0.02735
KPSS Test for Level Stationarity
data: devicetype_time24_2$porcentage KPSS Level = 0.53264, Truncation lag parameter = 2, p-value = 0.03431
KPSS Test for Trend Stationarity
data: devicetype_time24_2$porcentage KPSS Trend = 0.19735, Truncation lag parameter = 2, p-value = 0.01699
KPSS Test for Level Stationarity
data: devicetype_time24_2$developer KPSS Level = 0.45506, Truncation lag parameter = 2, p-value = 0.05342
KPSS Test for Trend Stationarity
data: devicetype_time24_2$developer KPSS Trend = 0.18361, Truncation lag parameter = 2, p-value = 0.02215
Selecionamos os desenvolvedores que comitaram nas primeiras 24 semanas do periodo de análise e verificamos o numero de plataformas que eles fizeram trabalharam em cada janela de tempo
As plataformas consideradas foram: win, iphone, linux, macos, e android
Filtrei alguns desenvolvedores com poucos commits pq o plot.ts so aceita matriz de ate 10 colunas